Article ID Journal Published Year Pages File Type
406987 Neurocomputing 2013 7 Pages PDF
Abstract

This paper investigates robust and global exponential synchronizations in an array of nonidentical neural networks with leakage delays and impulsive coupling subject to parametric uncertainties. Some simpler sufficient conditions for synchronization are obtained when uncertainties vanish. A numerical example is given to illustrate the effectiveness of the theoretical results.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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